===== Labs and Seminars =====

In the seminar, we will discuss solutions to theoretical assignments. These assignments will be made available in advance, and students are encouraged to work on them beforehand.

During the seminars, we will also assign and explain the practical homework tasks. Students will be required to implement solutions and submit their code for automatic evaluation. Additionally, some assignments will involve writing a report that includes responses to the given problems. These reports will be evaluated manually.


  * All homeworks must be submitted through the [[http://cw.felk.cvut.cz/upload/|upload system]].
  * All code must be implemented in Python.
  * Deadlines will be set for the submissions.

===== Lab/Seminar plan =====

^Week ^Date ^Topic ^Teacher ^Materials ^Deadline/Notes ^
|  1  | 26. 9. | //seminar cancelled// || | |
|  2  | 3. 10.  | **Seminar: Neural Networks** | JD/JP | {{ :courses:be4m33ssu:seminar_ann_ws2024.pdf | }} | [[https://atmos.washington.edu/~dennis/MatrixCalculus.pdf|Matrix Differentiation (Barnes)]] |
|  3  | 10. 10.| **Seminar: Predictor Evaluation**, Assignment of [[https://cw.fel.cvut.cz/wiki/courses/be4m33ssu/homeworks/hw_confidence_interval|HW 1]]| VF/JP | {{ :courses:be4m33ssu:seminar_pred_eval_ws2025.pdf | }} | HW1 deadline 06.11.2024 21:59|
|  4  | 17. 10. | **Seminar: Empirical Risk Minimization**, Assignment of [[https://cw.fel.cvut.cz/wiki/courses/be4m33ssu/homeworks/hw_generalization_bound|HW 2]]  | VF/JP | {{ :courses:be4m33ssu:seminar_erm_ws2024.pdf | }}| HW2 deadline 13.11.2024 21:59|
|  5  | 24. 10. | **Seminar: Probably Approximately Correct Learning **, Assignment of {{ :courses:be4m33ssu:homeworks:hw_assignment_hist_cls.pdf | HW3}} | VF/JP | {{ :courses:be4m33ssu:seminar_pac_ws2024.pdf | }} | HW3 deadline 20.11.2024 21:59 |
|  6  | 31. 10. | **Seminar: VC dimension** | VF/JP |  {{ :courses:be4m33ssu:seminar_vc_ws2024.pdf | }} | |
|  7  | 7. 11. |**Lab: Neural Networks**, Assignment of {{ :courses:be4m33ssu:homeworks:hw_assignment_neuralnet.pdf | HW4}}  | JD |  | HW4 deadline 11.12.2024 21:59 |
|  8  | 14. 11.  | **Seminar: Support Vector Machines ** | VF/JP | {{ :courses:be4m33ssu:seminar_svm_ws2024.pdf | }}  |   |
|  9  | 21. 11. | **Seminar: Ensembling ** | JD/JP | {{ :courses:be4m33ssu:seminar_ens_ws2024.pdf | }} | |
|  10  | 28. 11.| **Seminar: Gradient Boosting Machine**, Assignment of HW5 | JP |  | HW5 deadline 31.12.2024 23:59 |
|  11  | 5. 12. | **Seminar: Generative learning, Maximum Likelihood estimator **, Assignment of {{ :courses:be4m33ssu:hw_assignment_ml_plugin.pdf | HW6}} | VF/JP | {{ :courses:be4m33ssu:gener.pdf | }} | HW6 deadline 01.01.2025 21:59 |
|  12  | 12. 12. | ** Seminar: EM algoritm; Bayesian learning **, Assignment of {{ :courses:be4m33ssu:hw_assignment_em_prior_shift.pdf | HW7 }} | VF | {{ :courses:be4m33ssu:em-bayesian_ws2024.pdf | }} | JP unavailable |
|  13  | 19. 12. | //seminar cancelled// 🎁 | | |  |
|  14  | 9. 1.   | **Seminar: (Hidden) Markov Models ** | JD/JP | {{ :courses:be4m33ssu:seminar_hmm_ws2024.pdf | }} |  |